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MIMO 系统仿真，对时变信道的自适应调制-erq.m : function for ERQ algorithm in MIMO systems
space_wf.m : function for spatial domain power waterfilling
st_wf.m : function for spatial and temporal domain waterfilling
MIMO_rate.m : Plot spectral efficiency vs SNR f
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Iterative receiver techniques, multiple-input – multiple-output (MIMO) processing, and
orthogonal frequency division multiplexing (OFDM) are amongst the key physical layer
technologies when aiming at higher spectral efficiency for a wireless comm
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多输入多输出(MIMO)通信系统相比其他的通信系统具有更高的频谱效率，在不增加发射功率以及信号带宽的
情况下，MIMO 技术可以有效地提高系统信道容量及其性能。利用均匀角能量分布以及相关矩阵，分析了相关信道下的MIMO
系统信道容量，得出了系统信道容量的通用公式，并利用MATLAB 进行仿真。仿真结果表明，相关性的增加意味着信噪比的减
小，圆形接收天线阵列半径与角度扩展是决定MIMO 系统信道容量的主要因素。-Multiple-input multiple output (MIMO)
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In the last few years wireless services have become more and more
important. Likewise the demand for higher network capacity and
performance has been increased. Several options like higher bandwidth,
optimized modulation or even code-multiplex
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多输入多输／皇(MIMO，Multiple Input Multiple Output)技术可以在不增加系统
带宽的情况下成倍地提高系统容量和频谱利用率，已成为下一代移动通信系统的
关键技术之一。-Multiple Input Multiply Output(MIMO)，which can dramatically increase the
channel capacity and spectral efficiency for a wireless system without o
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channel estimation based on MIMO-OFDm is a promising technology that will provide the high datarates , increased capacity, spectral efficiency and reliability that is required for a more efficient wireless communication.
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In order to improve the spectral efficiency in wireless communications, multiple
antennas are employed at both transmitter and receiver sides, where the resulting
system is referred to as the multiple-input multiple-output (MIMO) system. In
MIM
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MIMO-CDMA 系统的渐近频谱效率仿真(asymptotic spectral efficiency of MIMO-CDMA)
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